机制设计论文趋势 2023–2026
拍卖与机制
统计范围:NeurIPS、ICLR、ICML、CVPR 四个会议,2023–2026 年,共 1,037 篇被归入该主题的论文。
主要结论
- 机制设计论文从 2023 年的 140 篇增长到 2026 年的 426 篇,三年间扩大到约 3.0 倍。
- NeurIPS 是发机制设计论文最多的会议,2023–2026 年共 394 篇,占四个会议总量的 38%。
- 交叉方向里涨得最快的是多模态大模型:同时属于两个主题的论文从 2023 年的 5 篇增至 2026 年的 42 篇。
- 在「博弈与规划」的 5 个主题里,它的 2026 年论文数排第 2;同组增长最快的经典规划是 3.3 倍,机制设计是 3.0 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 42 | 34 | 35 | 29 | 140 |
| 2024 | 69 | 25 | 67 | 39 | 200 |
| 2025 | 108 | 58 | 65 | 40 | 271 |
| 2026 | 175 | 65 | 128 | 58 | 426 |
代表论文
按年份和会议均匀挑选,方便快速看到每一届的样貌
- NeurIPS 2026A Generalized Tikhonov Layer for Interpretable-by-design Graph Neural Networks
- ICML 2026Affine-Scaled Attention: Towards Flexible and Stable Transformer Attention
- ICLR 2026Bayesian Attention Mechanism: A Probabilistic Framework for Positional Encoding and Context Length Extrapolation
- CVPR 2026FEAT Fashion Editing and Try-On from Any Design
- NeurIPS 2025A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
- ICML 2025Benign Overfitting in Token Selection of Attention Mechanism
- ICLR 2025AdaManip: Adaptive Articulated Object Manipulation Environments and Policy Learning
- CVPR 2025A Selective Re-learning Mechanism for Hyperspectral Fusion Imaging
- NeurIPS 2024AFBench: A Large-scale Benchmark for Airfoil Design
- ICML 2024CarbonNovo: Joint Design of Protein Structure and Sequence Using a Unified Energy-based Model
- ICLR 2024Adaptive Instrument Design for Indirect Experiments
- CVPR 2024InceptionNeXt: When Inception Meets ConvNeXt
- NeurIPS 2023An Optimal and Scalable Matrix Mechanism for Noisy Marginals under Convex Loss Functions
- ICML 2023AbODE: Ab initio antibody design using conjoined ODEs
- ICLR 2023Conditional Antibody Design as 3D Equivariant Graph Translation
- CVPR 2023Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization
- NeurIPS 2026A Unified Framework for Uniform-Price Resource Allocation Mechanisms
- ICML 2026Anatomy of Massive Activations and Attention Sinks
- ICLR 2026How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
- CVPR 2026Parallax to Align Them All An OmniParallax Attention Mechanism for
全部机制设计论文
共 394 篇,第 4 / 8 页
- NeurIPS 2026Stabilizing Extrapolation in Looped Transformers via Learned Stochastic Stopping
- NeurIPS 2026Subliminal Learning as Trait-Direction Drift: A Mechanism and Targeted Control under SFT Distillation
- NeurIPS 2026Support Before Frequency in Discrete Diffusion
- NeurIPS 2026Swimba: Switch Mamba Model Scales State Space Models
- NeurIPS 2026Take It or Leave It: Intent-Controlled Partial Optimal Transport
- NeurIPS 2026TANGO: RNA Topology and Geometry Co-Design
- NeurIPS 2026Task-Driven Bayesian Experimental Design Yields Singly Intractable Objectives for Joint Policy Training
- NeurIPS 2026Temporal Alignment Guidance: On-manifold Sampling in Diffusion Models
- NeurIPS 2026The Alternation Depth Principle for Neural Operator Design
- NeurIPS 2026The Design Space of Tri-Modal Masked Diffusion Models
- NeurIPS 2026The Dormant Spiking Neuron: A State-Driven Mechanism for Efficient Spiking Neural Networks
- NeurIPS 2026The Key to Going Linear: Analysis-Driven Transformer Linearization
- NeurIPS 2026The Path Not Taken: RLVR Learns Off the Principals
- NeurIPS 2026The Power of Menus in Dynamic Pricing: Near Optimal Regret and Equivalence Results
- NeurIPS 2026The Quantization Benefits of Residual-Free Transformers
- NeurIPS 2026The SuperActivator Mechanism: Transformers Concentrate Reliable Concept Signals in the Tail
- NeurIPS 2026Treat Domain-Specific Languages as Design Variables in LLM Agents
- NeurIPS 2026Two is better than one: designing heterogeneous scales in binary rating systems
- NeurIPS 2026Two Stages of Folding: Convergent Mechanisms in AI Protein Folding Trunks
- NeurIPS 2026Variable-Length Generative Protein Design via Generalized Poisson Flow
- NeurIPS 2026VEHBench: A Stage-Local Diagnostic Benchmark for LLM-Assisted Vibration Energy Harvester Design
- NeurIPS 2026Verifier Choice is a Benchmark Design Variable: Auditing Structural Counting Evaluation in Text-to-Image Models
- NeurIPS 2026Virtual Head Attention
- NeurIPS 2026When Does Knowing the State Help? Diagnosing Process vs. Outcome Reward Design
- NeurIPS 2026μLM: Rethinking Sub-100M Language Models through Memory-First Design
- NeurIPS 2025A Closer Look at Graph Transformers: Cross-Aggregation and Beyond
- NeurIPS 2025A Cramér–von Mises Approach to Incentivizing Truthful Data Sharing
- NeurIPS 2025A Dataset for Distilling Knowledge Priors from Literature for Therapeutic Design
- NeurIPS 2025ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition
- NeurIPS 2025AlphaFold Database Debiasing for Robust Inverse Folding
- NeurIPS 2025Ambient Proteins - Training Diffusion Models on Noisy Structures
- NeurIPS 2025Attention Mechanism, Max-Affine Partition, and Universal Approximation
- NeurIPS 2025Attention Sinks: A 'Catch, Tag, Release' Mechanism for Embeddings
- NeurIPS 2025Bayes optimal learning of attention-indexed models
- NeurIPS 2025Beyond Last-Click: An Optimal Mechanism for Ad Attribution
- NeurIPS 2025BikeBench: A Bicycle Design Benchmark for Generative Models with Objectives and Constraints
- NeurIPS 2025Can Large Multimodal Models Understand Agricultural Scenes? Benchmarking with AgroMind
- NeurIPS 2025Communication-Efficient Diffusion Denoising Parallelization via Reuse-then-Predict Mechanism
- NeurIPS 2025Comparing Uniform Price and Discriminatory Multi-Unit Auctions through Regret Minimization
- NeurIPS 2025Compress Large Language Models via Collaboration Between Learning and Matrix Approximation
- NeurIPS 2025Convergent Functions, Divergent Forms
- NeurIPS 2025Convolution Goes Higher-Order: A Biologically Inspired Mechanism Empowers Image Classification
- NeurIPS 2025CPSea: Large-scale cyclic peptide-protein complex dataset for machine learning in cyclic peptide design
- NeurIPS 2025Ctrl-DNA: Controllable Cell-Type-Specific Regulatory DNA Design via Constrained RL
- NeurIPS 2025DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer
- NeurIPS 2025Design-Based Bandits Under Network Interference: Trade-Off Between Regret and Statistical Inference
- NeurIPS 2025DuSA: Fast and Accurate Dual-Stage Sparse Attention Mechanism Accelerating Both Training and Inference
- NeurIPS 2025Dynamic Masking and Auxiliary Hash Learning for Enhanced Cross-Modal Retrieval
- NeurIPS 2025Efficient Bayesian Experiment Design with Equivariant Networks
- NeurIPS 2025Emergence of Linear Truth Encodings in Language Models
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后,写综述、挑方向或准备投稿时,不用离开对话框就能拿到这页的数字:每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文,AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查机制设计在 NeurIPS 2023–2026 的论文趋势,哪一年涨得最快?
AI 会调用的工具:get_topic_stats {"topic": "negotiation-and-mechanism"}
常见问题
- 2023–2026 年四大会议一共有多少篇机制设计论文?
- 共 1,037 篇,按年份分别是 2023 年 140 篇、2024 年 200 篇、2025 年 271 篇、2026 年 426 篇。
- NeurIPS 2026 有多少篇机制设计论文?
- NeurIPS 2026 有 175 篇机制设计论文,上一届是 108 篇。
- ICLR 2026 有多少篇机制设计论文?
- ICLR 2026 有 65 篇机制设计论文,上一届是 58 篇。
- ICML 2026 有多少篇机制设计论文?
- ICML 2026 有 128 篇机制设计论文,上一届是 65 篇。
- CVPR 2026 有多少篇机制设计论文?
- CVPR 2026 有 58 篇机制设计论文,上一届是 40 篇。
- 哪个会议的机制设计论文最多?
- NeurIPS,2023–2026 年共 394 篇。